Skip to content

yeongdonge/-study-DeepLearning_NLP

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

17 Commits
.ipynb_checkpoints
.ipynb_checkpoints
 
 
.gitignore
.gitignore
 
 
1_WzwKtnA0LEhiCGdWTTpLaA.png
1_WzwKtnA0LEhiCGdWTTpLaA.png
 
 
Activation_Function.ipynb
Activation_Function.ipynb
 
 
Artificail_Neural_Network.ipynb
Artificail_Neural_Network.ipynb
 
 
Bag_of_Words.ipynb
Bag_of_Words.ipynb
 
 
Basic_of_Tensor.ipynb
Basic_of_Tensor.ipynb
 
 
CharRNN.ipynb
CharRNN.ipynb
 
 
Cosine_similarity.ipynb
Cosine_similarity.ipynb
 
 
Eucliden_distance.ipynb
Eucliden_distance.ipynb
 
 
Integer_Encoding.ipynb
Integer_Encoding.ipynb
 
 
Kears_Functional_API.ipynb
Kears_Functional_API.ipynb
 
 
Keras.ipynb
Keras.ipynb
 
 
Keras_Subclassing_API.ipynb
Keras_Subclassing_API.ipynb
 
 
LDA.ipynb
LDA.ipynb
 
 
LDA2.ipynb
LDA2.ipynb
 
 
LSA.ipynb
LSA.ipynb
 
 
Linear_Regression.ipynb
Linear_Regression.ipynb
 
 
Logistic_Regression.ipynb
Logistic_Regression.ipynb
 
 
MultiLayer_Perceptron(MLP)_Text_Classification.ipynb
MultiLayer_Perceptron(MLP)_Text_Classification.ipynb
 
 
Multivariable_Linear_Regression.ipynb
Multivariable_Linear_Regression.ipynb
 
 
Multivariable_Logisitic_Regression.ipynb
Multivariable_Logisitic_Regression.ipynb
 
 
One-Hot Encoding.ipynb
One-Hot Encoding.ipynb
 
 
Padding.ipynb
Padding.ipynb
 
 
Pands,Numpy.ipynb
Pands,Numpy.ipynb
 
 
Perceptron.ipynb
Perceptron.ipynb
 
 
README.md
README.md
 
 
RNNLM(Recurrent_Neural_Network_Language_Model).ipynb
RNNLM(Recurrent_Neural_Network_Language_Model).ipynb
 
 
Recurrent_Neural_Network(RNN).ipynb
Recurrent_Neural_Network(RNN).ipynb
 
 
Regex for Tokenization.ipynb
Regex for Tokenization.ipynb
 
 
SImpleRNN&LSTM.ipynb
SImpleRNN&LSTM.ipynb
 
 
Softmax_Regression.ipynb
Softmax_Regression.ipynb
 
 
Stopword.ipynb
Stopword.ipynb
 
 
TF-IDF.ipynb
TF-IDF.ipynb
 
 
Tokenization.ipynb
Tokenization.ipynb
 
 
Word2Vec.ipynb
Word2Vec.ipynb
 
 
batchandepochiteration.png
batchandepochiteration.png
 
 
char_rnn1.png
char_rnn1.png
 
 
eng_w2v
eng_w2v
 
 
mse.png
mse.png
 
 
multilayerperceptron.png
multilayerperceptron.png
 
 
neural_network1_final.png
neural_network1_final.png
 
 
neural_network2_final.png
neural_network2_final.png
 
 
ratings.txt
ratings.txt
 
 
rnn_image5_ver2.png
rnn_image5_ver2.png
 
 
rnn_image6_ver3.png
rnn_image6_ver3.png
 
 
rnnlm1_final_final.png
rnnlm1_final_final.png
 
 
simple-neural-network.png
simple-neural-network.png
 
 
skipgram_dataset.png
skipgram_dataset.png
 
 
ted_en-20160408.xml
ted_en-20160408.xml
 
 
경사하강법SGD.png
경사하강법SGD.png
 
 
단어.png
단어.png
 
 
딥 러닝의 학습 방법.ipynb
딥 러닝의 학습 방법.ipynb
 
 
로컬미니멈.png
로컬미니멈.png
 
 
손실함수.png
손실함수.png
 
 
손실함수설명.png
손실함수설명.png
 
 
순전파.png
순전파.png
 
 
시그모이드함수2.png
시그모이드함수2.png
 
 
워드.png
워드.png
 
 
크로스엔트로피.png
크로스엔트로피.png
 
 

Repository files navigation

Deep Learning NLP(자연어 처리) 개인 공부 레포지토리입니다.

개발 내용이 아닌, 실습 내용을 위주로 구성되었습니다.

브랜치를 생성하지 않은 이유

파일마다 브랜치를 구분하기 애매할 뿐더러, 숙달 후 파일명으로 내용을 유추할 수 있기 위함입니다.

아래를 참고하세요

Language : Python

Team.REV

Tool : Anaconda3(Jupyter Notebook)

참고서적 : https://wikidocs.net/book/2155

About

No description, website, or topics provided.

Resources

Readme
Activity

Stars

0 stars

Watchers

1 watching

Forks

0 forks
Report repository

Releases

No releases published

Packages

 
 
 

Contributors

Languages